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AI voice agents · November 2026 Edition

CloudTalk vs Retell AI

Eight of fourteen models named CloudTalk first on the direct prompt; four named Retell AI. CloudTalk was named by twelve of the fourteen models and Retell AI by fourteen and CloudTalk carries 23 labels and Retell AI 55, so the shares are not directly comparable.

CloudTalk

accepted challenger

Named in nine categories this edition.

Retell AI

accepted challenger

Named in one category this edition.

First-choice share25%17%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 8; printed, not drawn.
Labels2355A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, CloudTalk reading right to left. Rank and label count are printed, not drawn.Vapi was named alongside these two in nine of the fourteen direct answers. CloudTalk vs Vapi · CloudTalk vs Synthflow · CloudTalk vs PolyAI

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the AI voice agents page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
CloudTalkFirst choices, of fourteen modelsRetell AI
Direct84
Paraphrase53
Comparative07
Budget-constrained02
Scale-constrained00
Negative014 against Retell AI
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where CloudTalk and Retell AI stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
CloudTalk Retell AI first choice named as an alternative argued againstblank: not namedEach cell is one answer, CloudTalk on the left and Retell AI on the right.

The direct prompt

The plain question, one answer per model, grouped by where CloudTalk and Retell AI stood in it.

CloudTalk first, Retell AI an alternative

8 of 14 modelsRetell AI was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Aloware, CloudTalk alternatives: ElevenLabs Agents, Retell AI, Synthflow, Vapi
Perplexity SonarCloudTalk alternatives: Retell AI
Grok 4.20CloudTalk alternatives: Retell AI, Vapi
DeepSeek V4 FlashCloudTalk alternatives: ElevenLabs Conversational AI, JustCall, Retell AI, Synthflow, Vapi
Llama 4 MaverickCloudTalk
Qwen 3.7 FlashCloudTalk alternatives: Cresta, Microsoft Copilot Studio, Retell AI, Synthflow AI, Vapi
MiniMax M2.5CloudTalk, Five9 alternatives: Retell AI, Synthflow
Muse Glimmer 30BCloudTalk alternatives: Nextiva XBert, Retell AI, Vapi

Retell AI first, CloudTalk an alternative

4 of 14 modelsCloudTalk was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashRetell AI alternatives: Regal.io, Sierra, Synthflow AI, Vapi
Kimi K2Retell AI alternatives: CloudTalk, Synthflow
GLM 4.7 FlashXRetell AI alternatives: Aircall, CloudTalk, Synthflow, Vapi
GPT-6 LunaRetell AI alternatives: PolyAI, Synthflow, Vapi

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniTalkdesk alternatives: ElevenLabs, Genesys Cloud CX, OpenAI Presence, Vapi
Mistral SmallKore.ai, Synthflow alternatives: Girikon AI

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Retell AI leads by four points.
Retell AI15%#1 of 11
CloudTalk12%#2 of 11
The full small business standing →
Mid-marketThe figures above
The order flips: CloudTalk leads at mid-market.
CloudTalk25%#1 of 8
Retell AI17%#2 of 8
The full mid-market standing →
Enterprise
The order flips: Retell AI leads at enterprise.
Retell AI13%#3 of 12
CloudTalk2%#– of 12
The full enterprise standing →

What the models said about CloudTalk

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.

“Start with CloudTalk if your mid-market B2B focus is on integrated sales/support without deep coding—it's the most "plug-and-play"” Grok 4.20 · direct prompt · first choice

What the models said about Retell AI

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Not recommended if you need a no-code launch or a predictable flat monthly bill.” Mistral Small · negative prompt · hard negative
“Cautious on data privacy if integrating deeply with CRMs/APIs (extra attack surfaces). Hallucinations remain a core issue.” Grok 4.20 · negative prompt · soft negative
“strong overall reviews, but users mention higher cost per call, missing features, and setup complexity in some cases” GPT-5.4 mini · negative prompt · soft negative
“Excellent for production-scale support automation; reliable for regulated industries; good balance of ease and power.” Grok 4.20 · comparative prompt · first choice
“Choose Retell AI if you want to build complex, multi-step workflows ... Their visual editor is superior here.” GLM 4.7 FlashX · comparative prompt · first choice
“Currently a market leader in this space... Choose Retell AI or Vapi if you are building a product feature” Qwen 3.7 Flash · comparative prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.